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The Spatial-Temporal Characteristics of Urban Construction Land Expansion in Wuhan, Central China

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The Spatial-Temporal Characteristics of Urban Construction

Land Expansion in Wuhan, Central China

Qianwen Han1, Yan Yu1,a, Shanshan Hu2, Yue Chen1, Yuanyuan Ke1 and Yan Tong1

1Department of Regional Planning and Management, School of Resources and Environmental Engineering, Wuhan University of

Technology, 430070, China

2Guangzhou Water Supply Company, No.12, Zhongshanyi Road, Yuexiu District, Guangzhou, 510030, China

Abstract. Data of construction land in Wuhan city were obtained from remote sensing image in different

periods. Based on the spatial analysis function of GIS, the characteristics of construction land expansion were identified by several methods to analyse the spatial-temporal features of Wuhan city area from 1995 to 2015, which included expansion speed, expansion elasticity, contribution rate of expansion, centre-of-gravity shift, and quadrant orientation. The results showed that the construction land area increased gradually from 1995 to 2015 in Wuhan city, and the expansion speed first increased and then decreased. The direction of construction land expansion in Wuhan city was expanded to the southwest significantly. The construction land expansion can’t meet the needs of population growth. Jiangxia district contributed most to the expansion of Wuhan city.

1 Introduction

With the accelerating process of urbanization, the expansion of urban construction land (UCL) has become more and more difficult to control. Therefore, studying the spatial and temporal characteristics of UCL expansion and clarifying the development of UCL are crucial for guiding urban development planning and protecting limited cultivated land resources and ecological environment. At present, numerous studies have been conducted on urban expansion control, urban expansion mode and influence of urban land expansion [1-3], in which GIS and RS technologies was combined to quantify, simulate and predict urban expansion. Previous literature on urban expansion has yielded substantial achievements. Liu and Wang [4, 5] had defined the mode of urban expansion by using relevant methods. Liu and Li et al. [6-9] had simulated urban expansion based on the landscape ecology theory. Pan et al. [10] had examined the characteristics of urban expansion by applying the relevant theory. In general, 3S has been widely used in various studies of urban construction land expansion. In particular, the use of multi-temporal remote sensing data has greatly enriched the depth of urban expansion and provided data support. Most of existing studies mainly focused on the influence factors of the expansionary driving force. However, there are few of studies on the characteristics of spatial-temporal such as expansion rate, expansion intensity and development direction of urban construction land. Under such a circumstance, we have explored the development

law of construction land since 1995 in Wuhan city, which could provide a reference for policymakers to achieve sustainable development in Wuhan city.

2 Study area and data

Wuhan city, located in the eastern of the Jianghan Plain, is the capital city of Hubei Province in China. There are 13 districts in Wuhan city: Jiang’an, Jianghan, Qiaokou, Hanyang, Wuchang, Hongshan, Qingshan, Dongxihu, Caidian, Jiangxia, Huangpi, Xinzhou and Hannan.

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Figure 1. Distribution map of urban land use in Wuhan city from 1995 to 2015.

3 Spatial-temporal characteristics of

urban construction land expansion in

Wuhan

The methods of expansion speed, expansion contribution rate, centre-of-gravity shift, quadrant orientation and contribution rate were selected for analysing spatial-temporal characteristics of UCL expansion in Wuhan. We comprehensively analysed the spatial-temporal changes of UCL expansion during 1995-2015, and then revealed the spatial and temporal evolution of urban expansion.

3.1. Temporal variation of urban construction land expansion

Temporal variation of UCL expansion refers to the variation of urban land use in time during the study period. In this paper, the development characteristics in Wuhan city during the period of 1995-2015 were analysed by expansion speed and expansion elasticity.

3.1.1 Expansion speed of urban construction land

Expansion speed of UCL expresses the change of UCL area per unit time. It could be expressed as formula (1).

V=Ub-Ua

T

(1)

Where, V is the average annual expansion rate. Ua and Ub are the area of UCL for the initial year and the end of the study period, respectively. T is the period.

The expansion speed of UCL was divided as High-speed (10 sq.km per year), Rapid (6-l0 sq.km per year), Moderate (2-6 sq.km per year), Low-speed (2 sq.km per year). Since 1995, the construction land in Wuhan city expanded by nearly 40%. Table 1 described that UCL expansion in Wuhan city has different speeds in different period. Urban development was relatively rapid during 1995-2010, 19.67 sq.km per year, 23.78 sq.km per year and 14.23 sq.km per year in the three periods respectively, all of which belonged to

high-speed expansion. Meanwhile, “Wuhan City Circle” and “the Rise of Central China” were put forward. Subsequently, Wuhan city was approved by the China State Council as a central city in Central China. Wuhan “1+8” had formed a network of “1 hour traffic”. The increasing economic exchanges with the surrounding cities also promoted Wuhan’s development. Since 2010, the development of urban construction land is a rapid expansion. Obviously, Wuhan city has paid more attention to coordination and sustainable development. In order to alleviate the harm caused by the blind expansion of the city, the expansion of the city must be controlled as much as possible.

3.1.2 Expansion elasticity of urban construction land

Expansion elasticity of UCL was measured the expansion characteristics in Wuhan city.

Ri=PopAi

i

(2) Where, Ri is expansion elasticity of the UCL in the i-th period, Ai and Popi are the average growth rate of the UCL urban population in the i-th period, respectively.

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Table 1. Expansion speed and elasticity of urban construction land from 1995 to 2015 in Wuhan.

Index

Years Area (km2) 𝐕𝐕(km2/year) Types Ai Popi Ri

1995-2000 98.35 19.67 High-speed 0.1876 0.0552 3.3988

2000-2005 118.90 23.78 High-speed 0.1909 0.0696 2.7423

2005-2010 71.16 14.23 High-speed 0.0960 0.2211 0.4340

2010-2015 45.08 9.02 Rapid 0.0555 0.0840 0.6601

3.2 Spatial variation of urban construction land expansion

3.2.1 Centre-of-gravity shift

The centre-of-gravity of UCL will also change a certain amount during the process of urban development, which reflects the shift of urban planning priorities. Centre-of-gravity coordinates and the centre-of-gravity shift can be calculated by:

X=∑ �ni=1Ai×xi� ∑ni=1Ai , Y= ∑ �ni=1Ai×yi� ∑ni=1Ai , d=��X1-X22+�Y 1-Y22 (3) Where, X and Y represent the centre-of-gravity coordinates of UCL; A� represents the area of the i-th

patch; xi and yi are coordinates of the i-th patch. d represents the shift distance; X1 and Y1 are the coordinates of centre-of-gravity; and X2 and Y2 are that of the reference year.

The centre-of-gravity of UCL in Wuhan has been migrating to the southwest with 6516.51m (Figure 2). During 1995-2000, the expansion was shifting to the northwest with 1839.71m. In 2000-2005, the centre-of-gravity migrated to southwest with 1487.90m. During 2005-2010, the centre-of-gravity shifted to southwest with 145.51m. During 2010-2015, it expanded to southwest with 3043.39m. In the past five years, there is a more obvious UCL expansion except the East Lake.

Figure 2. The centre-of-gravity shift.

3.2.2 Quadrant orientation

The expansion direction was divided into eight quadrants. The expansion rate of construction land was calculated and the spatial evolution of the construction land expansion in Wuhan city was also made with different

time frames (Figure 3). Wuhan city expanded in all directions in four time periods, but the expansion rates were obviously different. During the period from 1995 to 2000, it expanded mainly to the southwest and southeast with the expansion rates of 27.07 sq.km per year and 21.56 sq.km per year, respectively, and the northeast direction was only 2.10 sq.km per year. The overall expansion was the fastest from 2000 to 2005, with the expansion rate reaching 32.99 sq.km per year in the southwest. During the period from 2005 to 2010, the expansion concentrated in the west and south directions, and the expansion rates in other directions were all below 10 sq.km per year, at a slow-expansion. The expansion from 2010 to 2015 occurred in the west, followed by the north, while in the other directions, the expansion was slow. This showed in 1995-2015, the west in Wuhan city was in a state of rapid-expansion. The southwestern direction was rapidly expanding until 2005, with a slow development after 2005 and a slow expansion. The northwest, north and northeast areas was at a slow-expansion. Therefore, the differentiation of Wuhan construction land expansion was very obvious.

Figure 3. The Radar chart of rate of urban construction land

expansion.

3.2.3 Contribution rate of each administrative region expansion

After studying the direction and trend of expansion, we discussed the expansion of UCL in various administrative districts. According to the difference of the contribution rate of the 13 administrative districts in Wuhan city, we analyzed the differences in the expansion of each district during the period from 1995 to 2015, in which the contribution rate of UCL expansion is:

ECR=B(i, t2)-B(i, t1)

(4)

Where, ECR represents the contribution rate of expansion, B(i, tj) indicates the UCL area of administrative area i at time tj, andBtj depicts the UCL area of the entire area at time tj.

According to Figure 4, during 1995-2000, the differences in the contribution rate of each region's expansion were not obvious. The contribution of Xinzhou district reached 11.12%, which was at the highest level. During the period of 2000-2005, the contribution rate of expansion in Jiangxia district and Hongshan district changed obviously. Among them, the contribution rate of expansion in Jiangxia district was the largest, while the change in other areas was not obvious. From 2005 to 2010, the contribution rate of expansion in Huangpi district increased the biggest, with nearly 4 times as much as that in the previous time period. In addition, Jiangxia district and Huangpi district, where the contribution rate of expansion was at a high level, accounted for 28.38% of the total contribution rate in Jiangxia district, which is the maximum value of the entire study period. From 2010 to 2015, due to the slowdown of expansion of construction land during this period, the expansion contribution rate of most regions was reduced, in which the expansion contribution rate of Jiangxia Region was the most obvious. Overall, during the study period, the expansion of Jiangxia district had the greatest impact on the overall expansion of Wuhan city. The reason is that the construction land in the downtown area of Wuhan city was developed to the border in recent years, while the traffic in the northwest of Jiangxia district was very convenient. It is nearer to the Third Ring Road in the downtown area. Most of Optics Valley planning area is in Jiangxia district, and Jiangxia set up a number of development zones, such as the Miaoshan Development Zone, Hilong Island Development Zone, Bridge district and so on.

Figure 4. The contribution of each district’s urban

construction land expansion.

4 Conclusions

From 1995 to 2015, construction land in Wuhan city expanded by nearly 40%, especially in the period of rapid expansion from 1995 to 2010. After 2010, the expansion began to stabilize, and the rate of expansion

first increased and then decreased. In the period of rapid economic development, the pace of expansion of urban construction land obviously accelerated as same as most other cities. However, with the continuous development of the city, it is also necessary to avoid the dangers caused by the disorderly spread of cities. Therefore, the development of cities should make rational and effective use of the existing space in cities and strictly control the size of cities.

The expansion rate of construction land was higher than the population growth. This showed that people's living environment was constantly improved. After 2005, the expansion of construction land will hardly meet the demand for construction land due to population growth. As a result, the expansion of construction land caused forests and arable land to be ocuppied, which will eventually bring about a series of environmental problems. Therefore, the land must be rationally developed to promote the coordinated and sustainable development of cities.

Through the analysis of the spatial characteristics of Wuhan's expansion, we found that the main orientation of Wuhan's expansion was in the southwest, and Jiangxia district contributed most to the overall expansion of Wuhan city. The construction land in Wuhan city expanded continuously since 1995, and the economic, population and traffic had a greater guiding effect on the expansion of construction land. In the case of more and more saturated central urban area, policymakers should pay attention to the development of surrounding suburbs and the construction of transportation facilities, and make full use of the attractiveness of economic centers such as Optics Valley to promote the reseanable expansion of construction land in Wuhan city.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (41471339, 41571514) and the Fundamental Research Funds for the Central Universities of China (185208017).

References

1. E.H. Wilson, J.D. Hurd, D.L. Civco. Remote Sens Environ 86, 275-285 (2003)

2. C. Sun, Z. Wu, Z. Lv, et al. Int. J. Appl. Earth Obs. 21, 409-417(2013)

3. C. Xu, M. Liu, C. Zhang ,et al. Landscape Ecol. 22, 925-937(2007)

4. J. Liu, X. Wang, D. Zhuang. Acta. Geogr. Sin. 58, 885-892( 2003)

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6. X. Liu, X. Li, Y. Chen, et al. Acta. Geogr. Sin. 64, 1430-1438 (2009)

7. P. Wu, D. Zhou, H. Gong. Acta. Ecologica Sinica. 32, 4270-4277(2012)

8. J. Zhang, T. Ouyang, Z. Zhu, et al. Ecol. Environ. 19, 410-414 (2010)

9. Q. Liu, et al. J. Arid. Land Resour. Environ. 27, 47-52(2013)

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